mirror of
https://github.com/CyberSecurityUP/NeuroSploit.git
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CyberSecurityUP
a5badefc29
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
(NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)
Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
/reports/* + /shots/* static serving
Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
153 lines
7.6 KiB
Python
153 lines
7.6 KiB
Python
"""
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Report generation for NeuroSploit v3.3.0.
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Produces a polished **HTML** report from a run's validated findings, plus a
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**PDF** via the Typst engine when the `typst` binary is available (it is the
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intended report engine; HTML is always emitted as a fallback/companion).
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from neurosploit_agent.report import generate
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paths = generate(target, findings, out_dir) # -> {"html":..., "pdf":..., "typ":...}
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"""
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import datetime
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import html
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import os
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import shutil
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import subprocess
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from typing import Dict, List, Optional
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SEV_ORDER = {"Critical": 0, "High": 1, "Medium": 2, "Low": 3, "Info": 4}
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SEV_COLOR = {"Critical": "#c0392b", "High": "#e67e22", "Medium": "#f1c40f",
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"Low": "#3498db", "Info": "#7f8c8d"}
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def _sorted(findings: List[Dict]) -> List[Dict]:
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return sorted(findings, key=lambda f: SEV_ORDER.get(f.get("severity", "Info"), 9))
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def _counts(findings: List[Dict]) -> Dict[str, int]:
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c = {}
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for f in findings:
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c[f.get("severity", "Info")] = c.get(f.get("severity", "Info"), 0) + 1
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return c
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def typst_available() -> bool:
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return shutil.which("typst") is not None
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# --------------------------------------------------------------------------- HTML
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def render_html(target: str, findings: List[Dict], when: str) -> str:
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counts = _counts(findings)
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chips = "".join(
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f'<span class="chip" style="background:{SEV_COLOR.get(s,"#777")}">{s}: {n}</span>'
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for s, n in sorted(counts.items(), key=lambda kv: SEV_ORDER.get(kv[0], 9))
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) or '<span class="chip" style="background:#27ae60">No validated findings</span>'
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rows = []
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for i, f in enumerate(_sorted(findings), 1):
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sev = f.get("severity", "Info")
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rows.append(f"""
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<section class="finding">
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<h3><span class="sev" style="background:{SEV_COLOR.get(sev,'#777')}">{html.escape(sev)}</span>
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{i}. {html.escape(str(f.get('title','Untitled')))}</h3>
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<table class="kv">
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<tr><th>Agent</th><td>{html.escape(str(f.get('agent','')))}</td>
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<th>CWE</th><td>{html.escape(str(f.get('cwe','')))}</td></tr>
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<tr><th>CVSS</th><td>{html.escape(str(f.get('cvss','')))}</td>
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<th>Confidence</th><td>{html.escape(str(f.get('confidence','')))}</td></tr>
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<tr><th>Endpoint</th><td colspan="3">{html.escape(str(f.get('endpoint','')))}</td></tr>
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</table>
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<h4>Payload</h4><pre>{html.escape(str(f.get('payload','')))}</pre>
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<h4>Evidence</h4><pre>{html.escape(str(f.get('evidence','')))}</pre>
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<h4>Impact</h4><p>{html.escape(str(f.get('impact','')))}</p>
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<h4>Remediation</h4><p>{html.escape(str(f.get('remediation','')))}</p>
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</section>""")
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body = "\n".join(rows) or "<p><em>No validated findings were produced for this engagement.</em></p>"
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return f"""<!DOCTYPE html><html lang="en"><head><meta charset="utf-8">
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<title>NeuroSploit Report — {html.escape(target)}</title>
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<style>
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body{{font:14px/1.6 -apple-system,Segoe UI,Roboto,sans-serif;color:#1a1a1a;max-width:860px;margin:40px auto;padding:0 24px}}
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h1{{margin:0;font-size:26px}} .meta{{color:#666;margin:4px 0 18px}}
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.chips{{margin:14px 0 28px}} .chip{{color:#fff;border-radius:999px;padding:4px 12px;margin-right:8px;font-size:13px;font-weight:600}}
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.finding{{border:1px solid #e3e3e3;border-radius:12px;padding:18px 20px;margin:18px 0}}
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.finding h3{{margin:0 0 12px;font-size:17px}} .sev{{color:#fff;border-radius:6px;padding:2px 8px;font-size:12px;margin-right:8px}}
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table.kv{{border-collapse:collapse;width:100%;margin:8px 0}} .kv th{{text-align:left;color:#666;font-weight:600;width:90px;padding:3px 8px}}
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.kv td{{padding:3px 8px}} pre{{background:#0f1117;color:#dfe6f3;padding:12px;border-radius:8px;overflow:auto;font-size:12.5px}}
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h4{{margin:14px 0 4px;font-size:13px;text-transform:uppercase;letter-spacing:.5px;color:#8b5cf6}}
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.brand{{color:#8b5cf6;font-weight:800}} footer{{color:#999;font-size:12px;margin-top:30px;border-top:1px solid #eee;padding-top:12px}}
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</style></head><body>
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<h1><span class="brand">NeuroSploit</span> Penetration Test Report</h1>
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<div class="meta">Target: <b>{html.escape(target)}</b> · Generated {html.escape(when)} · v3.3.0 Autonomous MD-Agent Engine</div>
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<div class="chips">{chips}</div>
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<h2>Findings ({len(findings)})</h2>
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{body}
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<footer>Authorized testing only. All findings were independently validated and false-positive-filtered before inclusion.</footer>
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</body></html>"""
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# --------------------------------------------------------------------------- Typst
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def render_typst(target: str, findings: List[Dict], when: str) -> str:
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def s(v):
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"""Safely embed arbitrary text as a Typst string literal (// is inert)."""
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return '"' + str(v).replace("\\", "\\\\").replace('"', '\\"').replace("\n", " ") + '"'
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counts = _counts(findings)
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summary = ", ".join(f"{k}: {n}" for k, n in sorted(counts.items(), key=lambda kv: SEV_ORDER.get(kv[0], 9))) or "No validated findings"
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parts = [f'''#set page(margin: 2cm, numbering: "1")
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#set text(size: 10pt)
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#let sevcolor = (Critical: rgb("#c0392b"), High: rgb("#e67e22"), Medium: rgb("#f1c40f"), Low: rgb("#3498db"), Info: rgb("#7f8c8d"))
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#let sev(label) = box(fill: sevcolor.at(label, default: rgb("#7f8c8d")), inset: 3pt, radius: 3pt, text(fill: white, weight: "bold", label))
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#align(center)[#text(20pt, weight: "bold")[#text(fill: rgb("#8b5cf6"))[NeuroSploit] Penetration Test Report]]
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#align(center)[Target: #strong(target) #h(6pt) Generated {s(when)} #h(6pt) v3.3.0]
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#line(length: 100%, stroke: 0.5pt + gray)
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#strong[Summary:] {s(summary)}
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#v(6pt)
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== Findings ({len(findings)})
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'''.replace("#strong(target)", f"#strong({s(target)})")]
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for i, f in enumerate(_sorted(findings), 1):
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parts.append(f'''
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#block(breakable: false, stroke: 0.5pt + rgb("#dddddd"), radius: 6pt, inset: 10pt, width: 100%)[
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#sev({s(f.get('severity','Info'))}) #h(4pt) #strong[{i}. ] #strong({s(f.get('title','Untitled'))})
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#v(4pt)
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Agent: {s(f.get('agent',''))} #h(6pt) CWE: {s(f.get('cwe',''))} #h(6pt) CVSS: {s(f.get('cvss',''))}
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#v(2pt) Endpoint: #raw({s(f.get('endpoint',''))})
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#v(4pt) #strong[Payload] #linebreak() #raw({s(f.get('payload',''))})
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#v(2pt) #strong[Evidence] #linebreak() #raw({s(f.get('evidence',''))})
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#v(2pt) #strong[Impact:] {s(f.get('impact',''))}
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#v(2pt) #strong[Remediation:] {s(f.get('remediation',''))}
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]''')
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if not findings:
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parts.append("\n#emph[No validated findings were produced for this engagement.]\n")
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return "\n".join(parts)
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# --------------------------------------------------------------------------- API
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def generate(target: str, findings: List[Dict], out_dir: str,
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when: Optional[str] = None) -> Dict[str, str]:
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os.makedirs(out_dir, exist_ok=True)
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when = when or datetime.datetime.now().strftime("%Y-%m-%d %H:%M")
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out: Dict[str, str] = {}
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html_path = os.path.join(out_dir, "report.html")
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open(html_path, "w").write(render_html(target, findings, when))
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out["html"] = html_path
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typ_path = os.path.join(out_dir, "report.typ")
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open(typ_path, "w").write(render_typst(target, findings, when))
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out["typ"] = typ_path
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if typst_available():
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pdf_path = os.path.join(out_dir, "report.pdf")
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try:
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r = subprocess.run(["typst", "compile", typ_path, pdf_path],
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capture_output=True, text=True, timeout=120)
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if r.returncode == 0 and os.path.exists(pdf_path):
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out["pdf"] = pdf_path
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else:
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out["pdf_error"] = (r.stderr or "typst failed").strip()[:400]
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except Exception as e:
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out["pdf_error"] = str(e)
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else:
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out["pdf_error"] = "typst binary not found"
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return out
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